I am an Assistant Professor in the Department of Industrial Engineering and Operations Research at Columbia University, affiliated with the Data Science Institute. My research lies at the intersection of algorithms and machine learning. I am interested in developing novel optimization frameworks that are motivated by applications in machine learning. 

In particular, my research focuses on data-driven algorithm design, combinatorial optimization, machine learning, and mechanism design. I develop novel models and algorithmic machinery to address modern challenges of decision-making. For example, I have been working on exponentially faster algorithms for submodular optimization. For more details, my publications can be found here.

I received my PhD in Computer Science from Harvard University where I was advised by Yaron Singer. My thesis was awarded an ACM SIGecom Doctoral Dissertation Honorable Mention. As a graduate student, I also received a Google PhD fellowship and a Smith Family Graduate Science and Engineering Fellowship. I also co-founded Robust Intelligence, an AI security startup.

Email: eb3224 [at] columbia.edu